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Field
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, Technology and Information in Human-Computer Interaction (HCI), with a focus on responsible computing. The successful candidate will have an interest in online safety, including areas such as social media
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validate adaptive mechanisms for LoRaWAN based on machine learning techniques, targeting improved reliability and energy efficiency in mobile scenarios. To achieve this, it is necessary to go beyond
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/experience for the role You will bring: A PhD in a relevant field and a developing research record Proven ability in data analytics, machine learning, and handling large datasets Experience in data management
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positive performance evaluation. Keywords: Quantum information theory, quantum computing, machine learning for quantum technologies, quantum computational advantage Important Dates: Application deadline: May
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within the field of machine learning, search, and reasoning techniques. Demonstrable knowledge and/or experience in algorithms and programming is a must; Is able to translate and convert this knowledge
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into the School’s activities. We are particularly interested in candidates with expertise in Digital Health and AI in Medicine, including machine learning (especially deep learning), natural language processing, and
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parts of the research, in particular, statistical analyses of data and manuscript writing. You may also be involved in supervising PhD students, contributing to project management, and assisting other
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analog electronic accelerators. You’ll collaborate closely with a multidisciplinary team of machine learning experts, software developers, computer scientists, fabrication specialists, and experimentalists
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the Science for Life Laboratory (SciLifeLab). SciLifeLab is a national center for leading edge technological infrastructures that supports large-scale data and hypothesis-driven research in the field
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of Machine Learning, Computer Vision, Large Language Models and related technologies. Relevant publications – articles in peer-reviewed scientific journals indexed in WOS with an impact factor. Excellent